AIMC Topic: Postoperative Complications

Clear Filters Showing 81 to 90 of 993 articles

Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values.

Scientific reports Feb 5, 2025
This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to predict systemic inflammatory response syndrome (SIRS) after endoscopic surgery for kidney stones. The goal is to identify high-risk patients early and p...
Kidney Calculi Nephrolithotomy, Percutaneous Machine Learning Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Postoperative Complications Systemic Inflammatory Response Syndrome Humans
View on PubMed DOI

Development and validation of an interpretable machine learning model to predict major adverse cardiovascular events after noncardiac surgery in geriatric patients: a prospective study.

International journal of surgery (London, England) Feb 1, 2025
BACKGROUND: Major adverse cardiovascular events (MACEs) within 30 days following noncardiac surgery are prognostically relevant. Accurate prediction of risk and modifiable risk factors for postoperative MACEs is critical for surgical planning and pat...
Prospective Studies Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Surgical Procedures, Operative Male Cardiovascular Diseases Risk Assessment Postoperative Complications
View on PubMed DOI

Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data.

BMC medical informatics and decision making Jan 31, 2025
BACKGROUND: Postoperative pulmonary complications (PPCs) following cardiac valvular surgery are characterized by high morbidity, mortality, and economic cost. This study leverages wearable technology and machine learning algorithms to preoperatively ...
Male Middle Aged Risk Assessment Postoperative Complications Humans Lung Diseases Wearable Electronic Devices Machine Learning Cardiac Surgical Procedures Prospective Studies Heart Valves Female Aged
View on PubMed DOI

Using machine learning to predict outcomes following transcarotid artery revascularization.

Scientific reports Jan 31, 2025
Transcarotid artery revascularization (TCAR) is a relatively new and technically challenging procedure that carries a non-negligible risk of complications. Risk prediction tools may help guide clinical decision-making but remain limited. We developed...
Treatment Outcome Stroke Machine Learning Female Male Humans Risk Factors Middle Aged Aged Risk Assessment Aged, 80 and over Postoperative Complications
View on PubMed DOI

Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

The spine journal : official journal of the North American Spine Society Jan 30, 2025
BACKGROUND CONTEXT: Preoperative risk assessment remains a challenge in spinal fusion operations. Predictive modeling provides data-driven estimates of postsurgical outcomes, guiding clinical decisions and improving patient care. Moreover, automated ...
Electronic Health Records Female Aged Adult Male Humans Machine Learning Retrospective Studies Middle Aged Spinal Fusion Risk Assessment Lumbar Vertebrae Postoperative Complications Anemia Length of Stay Patient Readmission Preoperative Period
View on PubMed DOI

Preoperative blood and CT-image nutritional indicators in short-term outcomes and machine learning survival framework of intrahepatic cholangiocarcinoma.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Jan 30, 2025
BACKGROUND&AIMS: Intrahepatic cholangiocarcinoma (iCCA) is aggressive with limited treatment and poor prognosis. Preoperative nutritional status assessment is crucial for predicting outcomes in patients. This study aimed to compare the predictive cap...
Humans Machine Learning Prognosis Retrospective Studies Neoplasm Recurrence, Local Subcutaneous Fat Bilirubin Hepatectomy Bile Duct Neoplasms Nutritional Status Preoperative Period Intra-Abdominal Fat Serum Albumin Cholangiocarcinoma Male Tomography, X-Ray Computed Middle Aged Female Nutrition Assessment Aged Postoperative Complications Survival Rate
View on PubMed DOI

Postoperative fever following surgery for oral cancer: Incidence, risk factors, and the formulation of a machine learning-based predictive model.

BMC oral health Jan 30, 2025
BACKGROUND: Postoperative fever (POF) is a common occurrence in patients undergoing major surgery, presenting challenges and burdens for both patients and surgeons yet. This study endeavors to examine the incidence, identify risk factors, and establi...
Retrospective Studies Female Risk Factors Aged Adult Male Middle Aged Postoperative Complications Length of Stay Incidence Humans Nomograms Machine Learning Mouth Neoplasms Fever
View on PubMed DOI

Incidence and Predictors of Acute Kidney Injury Following Advanced Ovarian Cancer Cytoreduction at a Tertiary UK Centre: An Exploratory Analysis and Insights from Explainable Artificial Intelligence.

Current oncology (Toronto, Ont.) Jan 28, 2025
BACKGROUND/OBJECTIVES: The incidence of acute kidney injury (AKI) following advanced epithelial ovarian cancer (EOC) surgery has not been extensively studied. This study aimed to investigate the incidence of AKI and identify preoperative and intraope...
Middle Aged Female Tertiary Care Centers Humans Postoperative Complications Carcinoma, Ovarian Epithelial Risk Factors Artificial Intelligence Incidence Cytoreduction Surgical Procedures Aged Retrospective Studies Ovarian Neoplasms United Kingdom Adult Acute Kidney Injury
View on PubMed DOI

Statistical models versus machine learning approach for competing risks in proctological surgery.

Updates in surgery Jan 25, 2025
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for pr...
Male Middle Aged Humans Risk Assessment Postoperative Complications Machine Learning Logistic Models Female Models, Statistical Aged Elective Surgical Procedures Adult Hemorrhoids
View on PubMed DOI

Prediction of facial nerve outcomes after surgery for vestibular schwannoma using machine learning-based models: a systematic review and meta-analysis.

Neurosurgical review Jan 24, 2025
Postoperative facial nerve (FN) dysfunction is associated with a significant impact on the quality of life of patients and can result in psychological stress and disorders such as depression and social isolation. Preoperative prediction of FN outcome...
Facial Nerve Neuroma, Acoustic Machine Learning Facial Nerve Injuries Postoperative Complications Treatment Outcome Neurosurgical Procedures Humans
View on PubMed DOI
Popular Topics
Recent Journals